BCSreg: Box-Cox Symmetric Regression for Non-Negative Data

A collection of tools for regression analysis of non-negative data, including strictly positive and zero-inflated observations, based on the class of the Box-Cox symmetric (BCS) distributions and its zero-adjusted extension. The BCS distributions are a class of flexible probability models capable of describing different levels of skewness and tail-heaviness. The package offers a comprehensive regression modeling framework, including estimation and tools for evaluating goodness-of-fit.

Version:	1.1.0
Depends:	R (≥ 3.5)
Imports:	distr, EnvStats, Formula, gamlss.dist, GeneralizedHyperbolic
Suggests:	testthat (≥ 3.0.0)
Published:	2026-01-12
DOI:	10.32614/CRAN.package.BCSreg (may not be active yet)
Author:	Felipe Queiroz [aut], Rodrigo Medeiros [aut, cre, cph]
Maintainer:	Rodrigo Medeiros <rodrigo.matheus at ufrn.br>
BugReports:	https://github.com/ffqueiroz/BCSreg/issues
License:	GPL (≥ 3)
URL:	https://github.com/ffqueiroz/BCSreg
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	BCSreg results

Documentation:

Reference manual:

BCSreg.html , BCSreg.pdf

Downloads:

Package source:	BCSreg_1.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: BCSreg_1.1.0.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): BCSreg_1.1.0.tgz, r-oldrel (arm64): BCSreg_1.1.0.tgz, r-release (x86_64): BCSreg_1.1.0.tgz, r-oldrel (x86_64): BCSreg_1.1.0.tgz

Linking:

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